indianus, indicating that invasion not only affects amounts of genetic diversity, but also how that diversity is distributed across the genome. Finally, we use parameter estimates from thermal performance curves measured for 13 species of Zaprionus to show that Z. indianus has the broadest thermal niche of measured species, and that performance does not differ between invasive and native populations. These results illustrate how aspects of genetic diversity in invasive species can be decoupled from measures of fitness, and that a broad thermal niche may have helped facilitate Z. indianus's range expansion. © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.CONTEXT Several statistical models were introduced for prediction of age at menopause using a single measurement of Anti Mullerian Hormone (AMH), however individual prediction is challenging and need to be improved. OBJECTIVE Whether multiple AMH measurements can improve the prediction of age at menopause. DESIGN All eligible reproductive aged women (n=959) were selected from the Tehran Lipid and Glucose Study. The serum concentration of AMH was measured at the time of recruitment and twice after that with on average 6 years interval. An accelerated failure time model with Weibull distribution was used to predict age at menopause, using a single AMH value versus model included annual AMH decline rate. The adequacy of these models was assessed using C-statistics. https://www.selleckchem.com/products/nutlin-3a.html RESULTS The median follow-up period was 14 years and 529 women reached menopause. Adding the annual decline rate to the model included single AMH, improved the model discrimination's adequacy from 70% (95% CI 67% to 71%) to 78% (95%CI 75% to 80%) in terms of c-statistic. The median of differences between actual and predicted age at menopause for the first model was -0.48 years and decreased to -0.21in model including decline rate. The predicted age at menopause for women with the same amount of age-specific AMH, but annual AMH decline rate of 95 percentiles was about one decade lower than those with decline rate of 5 percentiles. CONCLUSION Prediction of age at menopause could be improved by multiple AMH measurements, it will be useful in identifying women at risk of early menopause. © Endocrine Society 2020. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.BACKGROUND We aimed to report the clinical characteristics of imported coronavirus disease-19 (COVID-19) in Jiangsu Province. METHODS We retrospectively investigated the&nbsp;clinical, imaging, and laboratory characteristics of confirmed cases of COVID-19 with WHO interim guidance in three Grade ?A&nbsp;hospitals of Jiangsu from Jan 22 to Feb 14, 2020. Real time RT-PCR was used to detect the new coronavirus in respiratory samples. RESULTS Of the 80 patients infected with COVID-19, 41 patients were female, with a median age of 46.1 years. Except for 3 severe patients, the rest of the 77 patients exhibited mild or moderate symptoms. 9 patients were unconfirmed until a third-time nucleic acid test. 38 cases had a history of chronic diseases. The main clinical manifestations of the patients were fever and cough, which accounted for 63 cases (78.75%) and 51 cases (-63.75%) respectively. Only 3 patients (3.75%) showed liver dysfunction. Imaging examination showed that 55 patients (-68.75%) showed abnormal, 25 cases (31.25%) had no abnormal density shadow in the parenchyma of both lungs. Up to now, 21 cases were discharged from the hospital, and no patient died. The average length of stay for discharged patients was 8 days. CONCLUSIONS Compared with the cases in Wuhan, the&nbsp;cases in Jiangsu exhibited mild or moderate symptoms and no obvious gender susceptivity. The proportion of patients having liver dysfunction and abnormal CT imaging was relatively lower than that of Wuhan. Notably, infected patients may be falsely excluded based on two consecutively negative respiratory pathogenic nucleic acid test results. © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.Seeds are the typical dispersal and propagation units of angiosperms and gymnosperms. Water movement into and out of seeds plays a crucial role from the point of fertilization through to imbibition and seed germination. A class of membrane intrinsic proteins called aquaporins (AQPs) assist with the movement of water and other solutes within seeds. These highly diverse and abundant proteins are associated with different processes in the development, longevity, imbibition, and germination of seed. However, there are many AQPs encoded in a plant's genome and it is not yet clear how, when, or which AQPs are involved in critical stages of seed biology. Here we review the literature to examine the evidence for AQP involvement in seeds and analyse Arabidopsis seed-related transcriptomic data to assess which AQPs are likely to be important in seed water relations and explore additional roles for AQPs in seed biology. © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email journals.permissions@oup.com.Understanding microbial network assembly is a promising way to predict potential impacts of environmental changes on ecosystem functions. Yet, soil microbial network assembly in mountain ecosystems and its underlying mechanisms remain elusive. Here, we characterized soil microbial co-occurrence networks across 12 altitudinal sites in Mountain Gongga. Despite differences in habitats, soil bacterial networks separated into two different clusters by altitude, namely the lower and higher altitudes, while fungi did not show such a pattern. Bacterial networks encompassed more complex and closer relationships at the lower altitudes, while fungi had closer relationships at the higher altitudes, which could be attributed to niche differentiation caused by high variations in soil environments and plant communities. Both abiotic and biotic factors (e.g. soil pH and bacterial community composition) shaped bacterial networks. However, biotic factors played more important roles than the measured abiotic factors for fungal network assembly.